AI in Healthcare Quality: Global Leadership Broadcast

WHLNet Broadcast - 18 December 2025

The World Health Leadership Network and the International Society for Quality in Health Care (ISQua) are convening healthcare leaders from around the world for a critical broadcast examining artificial intelligence's transformative impact on quality and safety improvement. This global conversation recognizes that healthcare organizations across continents face similar challenges—mounting pressure to deliver quality-focused care while maintaining efficient operations and building sustainable systems. As AI technologies rapidly advance, healthcare leaders worldwide need practical guidance, evidence-based frameworks, and honest discussion about both opportunities and risks. This international broadcast brings together diverse perspectives and experiences, creating a forum where leaders from different healthcare systems can learn from each other's AI implementation journeys and collectively advance the field.

Co-facilitating this global dialogue are two internationally recognized experts who bring complementary perspectives from different continents and healthcare contexts:

• Dr. Richard Greenhill, DHA FACHE, Principal & Founder of SmartSigma AI - USA brings extensive experience in healthcare accreditation, regulatory compliance, and AI governance, helping organizations navigate the complex intersection of technology innovation and quality standards.

• Prof. Eyal Zimlichman, MD, MSc, serves as Chief Transformation, Innovation, and AI Officer at Israel's Sheba Medical Center - Israel one of the world's leading innovation hospitals. Prof. Zimlichman founded ARC, Sheba's global innovation platform that fosters international collaboration to advance digital health and AI-driven solutions. With an MSc in Healthcare Management from Harvard School of Public Health and board certification in internal medicine, he combines clinical expertise with strategic innovation leadership.

Together, these speakers will engage the global audience in exploring how artificial intelligence offers powerful tools to substantially improve quality metrics, enable early detection of adverse events, enhance care coordination, and reduce the administrative burden that threatens physician wellbeing and patient care quality across healthcare systems worldwide.

The broadcast will examine the fundamental principles of successful AI implementation that transcend individual healthcare systems, exploring how organizations can effectively deploy AI tools for early warning systems, adverse event detection, and care coordination across diverse clinical environments. Dr. Greenhill and Prof. Zimlichman will distinguish AI's unique capabilities and limitations compared to traditional clinical decision support tools, providing leaders with frameworks for thoughtful evaluation and strategic deployment. A central focus will be understanding how AI can reduce the administrative burden plaguing physicians globally while maintaining or improving quality of care—addressing the critical balance needed to combat burnout while advancing patient outcomes. Importantly, the facilitators will also examine the potential risks where AI implementation could inadvertently increase burden or compromise quality outcomes, offering the honest assessment essential for responsible leadership as organizations worldwide navigate this technological transformation.

As healthcare organizations across the globe rush to adopt AI technologies, understanding both the transformative potential and the pitfalls becomes critical to protecting patients, supporting clinicians, and achieving genuine quality improvement rather than simply adding technological complexity. This international broadcast offers healthcare executives, quality officers, chief medical officers, and innovation leaders from every continent practical insights from experts who are actively shaping how AI transforms healthcare delivery and quality improvement globally. By engaging a worldwide audience, the World Health Leadership Network and ISQua create opportunities for cross-cultural learning, shared problem-solving, and collaborative advancement of AI implementation practices that serve quality and safety improvement universally.